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Designs and maintains enterprise-scale data pipelines and ETL workflows for banking clients using SQL, Python, Spark, and cloud platforms like AWS/Azure.
Design and build core data pipelines and models that power analytics and AI-driven meeting insights at a fast-growing AI SaaS company.
Role: Big Data Support Engineer Job Title:Big Data Support Engineer Location: PH Department:Support Reportsto:HeadofSupport We are seeking a Technical Support Agent who will play a critical role in maintaining high…
So, what’s the role all about? We are seeking an experienced Manager, Engineeringto lead a globally distributed team responsible for optimizing and managing data pipelines, real-time data processing, and database…
Overview Power the future of global communications through scalable cloud data platforms supporting a fast-growing telecommunications technology provider. The Opportunity Your expertise in data engineering and cloud…
Build and automate Azure cloud infrastructure using Terraform and CI/CD pipelines, then monitor and troubleshoot production systems for a global fund-administration platform.
Build and scale the data pipelines and infrastructure that power Otter.ai’s AI-driven meeting transcription and insights platform, using cloud tools like AWS, Snowflake, and Kafka.
Build and maintain AI-powered automation workflows using n8n, Python, and APIs, then deploy them for internal ops and client engagements while creating reusable frameworks to scale the practice.
A Staff Data Scientist at Slack (owned by Salesforce) partners with GTM teams to drive growth via advanced analytics, experimentation, and predictive modeling, focusing on customer behavior, sales performance, and AI-powered decision-making.
Build and maintain scalable data pipelines and warehouses on GCP/BigQuery using Airflow, dbt, and Python to power AI-driven education analytics and reporting.
Lead hands-on data engineering for clients in retail, media, and finance, building cloud pipelines and models on Azure, Databricks, and Fabric to power AI solutions and analytics.
Build secure Java/Spring Boot microservices for a next-gen Defence Intelligence platform, integrating with MOD systems and supporting mission-critical workflows in a DV-cleared environment.
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Build and maintain FastAPI services and Next.js portals for an AI-powered compliance platform, using TDD, Postgres, and workflow orchestration to validate candidate data and documents.
Principal Engineer leading AI-enabled CRM and customer engagement platforms for Business Banking, designing scalable cloud-native systems and responsible AI architectures.
Principal engineer leading cloud-native platforms, APIs, and AI-enabled features for customer and banker experiences in a fintech setting.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
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